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52 changes: 52 additions & 0 deletions
52
...hat-engine/src/main/scala/org/apache/kyuubi/engine/chat/schema/ChatTRowSetGenerator.scala
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with | ||
* this work for additional information regarding copyright ownership. | ||
* The ASF licenses this file to You under the Apache License, Version 2.0 | ||
* (the "License"); you may not use this file except in compliance with | ||
* the License. You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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package org.apache.kyuubi.engine.chat.schema | ||
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import org.apache.kyuubi.engine.chat.schema.ChatTRowSetGenerator._ | ||
import org.apache.kyuubi.engine.schema.AbstractTRowSetGenerator | ||
import org.apache.kyuubi.shaded.hive.service.rpc.thrift._ | ||
import org.apache.kyuubi.shaded.hive.service.rpc.thrift.TTypeId._ | ||
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class ChatTRowSetGenerator | ||
extends AbstractTRowSetGenerator[Seq[String], Seq[String], String] { | ||
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override def getColumnSizeFromSchemaType(schema: Seq[String]): Int = schema.length | ||
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override def getColumnType(schema: Seq[String], ordinal: Int): String = COL_STRING_TYPE | ||
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override protected def isColumnNullAt(row: Seq[String], ordinal: Int): Boolean = | ||
row(ordinal) == null | ||
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override def getColumnAs[T](row: Seq[String], ordinal: Int): T = row(ordinal).asInstanceOf[T] | ||
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override def toTColumn(rows: Seq[Seq[String]], ordinal: Int, typ: String): TColumn = | ||
typ match { | ||
case COL_STRING_TYPE => toTTypeColumn(STRING_TYPE, rows, ordinal) | ||
case otherType => throw new UnsupportedOperationException(s"type $otherType") | ||
} | ||
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override def toTColumnValue(ordinal: Int, row: Seq[String], types: Seq[String]): TColumnValue = | ||
getColumnType(types, ordinal) match { | ||
case "String" => toTTypeColumnVal(STRING_TYPE, row, ordinal) | ||
case otherType => throw new UnsupportedOperationException(s"type $otherType") | ||
} | ||
} | ||
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object ChatTRowSetGenerator { | ||
val COL_STRING_TYPE: String = classOf[String].getSimpleName | ||
} |
107 changes: 0 additions & 107 deletions
107
...rnals/kyuubi-chat-engine/src/main/scala/org/apache/kyuubi/engine/chat/schema/RowSet.scala
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141 changes: 141 additions & 0 deletions
141
...l-engine/src/main/scala/org/apache/kyuubi/engine/flink/schema/FlinkTRowSetGenerator.scala
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with | ||
* this work for additional information regarding copyright ownership. | ||
* The ASF licenses this file to You under the Apache License, Version 2.0 | ||
* (the "License"); you may not use this file except in compliance with | ||
* the License. You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
package org.apache.kyuubi.engine.flink.schema | ||
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import java.time.{Instant, ZonedDateTime, ZoneId} | ||
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import scala.collection.JavaConverters._ | ||
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import org.apache.flink.table.data.StringData | ||
import org.apache.flink.table.types.logical._ | ||
import org.apache.flink.types.Row | ||
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import org.apache.kyuubi.engine.flink.result.ResultSet | ||
import org.apache.kyuubi.engine.flink.schema.RowSet.{toHiveString, TIMESTAMP_LZT_FORMATTER} | ||
import org.apache.kyuubi.engine.schema.AbstractTRowSetGenerator | ||
import org.apache.kyuubi.shaded.hive.service.rpc.thrift._ | ||
import org.apache.kyuubi.shaded.hive.service.rpc.thrift.TTypeId._ | ||
import org.apache.kyuubi.util.RowSetUtils.bitSetToBuffer | ||
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class FlinkTRowSetGenerator(zoneId: ZoneId) | ||
extends AbstractTRowSetGenerator[ResultSet, Row, LogicalType] { | ||
override def getColumnSizeFromSchemaType(schema: ResultSet): Int = schema.columns.size | ||
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override def getColumnType(schema: ResultSet, ordinal: Int): LogicalType = | ||
schema.columns.get(ordinal).getDataType.getLogicalType | ||
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override def isColumnNullAt(row: Row, ordinal: Int): Boolean = row.getField(ordinal) == null | ||
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override def getColumnAs[T](row: Row, ordinal: Int): T = row.getFieldAs[T](ordinal) | ||
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override def toTColumnValue(ordinal: Int, row: Row, types: ResultSet): TColumnValue = { | ||
getColumnType(types, ordinal) match { | ||
case _: BooleanType => toTTypeColumnVal(BOOLEAN_TYPE, row, ordinal) | ||
case _: TinyIntType => toTTypeColumnVal(BINARY_TYPE, row, ordinal) | ||
case _: SmallIntType => toTTypeColumnVal(TINYINT_TYPE, row, ordinal) | ||
case _: IntType => toTTypeColumnVal(INT_TYPE, row, ordinal) | ||
case _: BigIntType => toTTypeColumnVal(BIGINT_TYPE, row, ordinal) | ||
case _: DoubleType => toTTypeColumnVal(DOUBLE_TYPE, row, ordinal) | ||
case _: FloatType => toTTypeColumnVal(FLOAT_TYPE, row, ordinal) | ||
case t @ (_: VarCharType | _: CharType) => | ||
val tStringValue = new TStringValue | ||
val fieldValue = row.getField(ordinal) | ||
fieldValue match { | ||
case value: String => | ||
tStringValue.setValue(value) | ||
case value: StringData => | ||
tStringValue.setValue(value.toString) | ||
case null => | ||
tStringValue.setValue(null) | ||
case other => | ||
throw new IllegalArgumentException( | ||
s"Unsupported conversion class ${other.getClass} " + | ||
s"for type ${t.getClass}.") | ||
} | ||
TColumnValue.stringVal(tStringValue) | ||
case _: LocalZonedTimestampType => | ||
val tStringValue = new TStringValue | ||
val fieldValue = row.getField(ordinal) | ||
tStringValue.setValue(TIMESTAMP_LZT_FORMATTER.format( | ||
ZonedDateTime.ofInstant(fieldValue.asInstanceOf[Instant], zoneId))) | ||
TColumnValue.stringVal(tStringValue) | ||
case t => | ||
val tStringValue = new TStringValue | ||
if (row.getField(ordinal) != null) { | ||
tStringValue.setValue(toHiveString((row.getField(ordinal), t))) | ||
} | ||
TColumnValue.stringVal(tStringValue) | ||
} | ||
} | ||
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override def toTColumn(rows: Seq[Row], ordinal: Int, logicalType: LogicalType): TColumn = { | ||
val nulls = new java.util.BitSet() | ||
// for each column, determine the conversion class by sampling the first non-value value | ||
// if there's no row, set the entire column empty | ||
val sampleField = rows.iterator.map(_.getField(ordinal)).find(_ ne null).orNull | ||
logicalType match { | ||
case _: BooleanType => toTTypeColumn(BOOLEAN_TYPE, rows, ordinal) | ||
case _: TinyIntType => toTTypeColumn(BINARY_TYPE, rows, ordinal) | ||
case _: SmallIntType => toTTypeColumn(TINYINT_TYPE, rows, ordinal) | ||
case _: IntType => toTTypeColumn(INT_TYPE, rows, ordinal) | ||
case _: BigIntType => toTTypeColumn(BIGINT_TYPE, rows, ordinal) | ||
case _: FloatType => toTTypeColumn(FLOAT_TYPE, rows, ordinal) | ||
case _: DoubleType => toTTypeColumn(DOUBLE_TYPE, rows, ordinal) | ||
case t @ (_: VarCharType | _: CharType) => | ||
val values: java.util.List[String] = new java.util.ArrayList[String](0) | ||
sampleField match { | ||
case _: String => | ||
values.addAll(getOrSetAsNull[String](rows, ordinal, nulls, "")) | ||
case _: StringData => | ||
val stringDataValues = | ||
getOrSetAsNull[StringData](rows, ordinal, nulls, StringData.fromString("")) | ||
stringDataValues.forEach(e => values.add(e.toString)) | ||
case null => | ||
values.addAll(getOrSetAsNull[String](rows, ordinal, nulls, "")) | ||
case other => | ||
throw new IllegalArgumentException( | ||
s"Unsupported conversion class ${other.getClass} " + | ||
s"for type ${t.getClass}.") | ||
} | ||
TColumn.stringVal(new TStringColumn(values, nulls)) | ||
case _: LocalZonedTimestampType => | ||
val values = getOrSetAsNull[Instant](rows, ordinal, nulls, Instant.EPOCH) | ||
.toArray().map(v => | ||
TIMESTAMP_LZT_FORMATTER.format( | ||
ZonedDateTime.ofInstant(v.asInstanceOf[Instant], zoneId))) | ||
TColumn.stringVal(new TStringColumn(values.toList.asJava, nulls)) | ||
case _ => | ||
var i = 0 | ||
val rowSize = rows.length | ||
val values = new java.util.ArrayList[String](rowSize) | ||
while (i < rowSize) { | ||
val row = rows(i) | ||
nulls.set(i, row.getField(ordinal) == null) | ||
val value = | ||
if (row.getField(ordinal) == null) { | ||
"" | ||
} else { | ||
toHiveString((row.getField(ordinal), logicalType)) | ||
} | ||
values.add(value) | ||
i += 1 | ||
} | ||
TColumn.stringVal(new TStringColumn(values, nulls)) | ||
} | ||
} | ||
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} |
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